Hongyu Li

An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning

2019

Federated learning is a distributed learning method to train a shared model by aggregating the locally-computed gradient updates. In federated learning, bandwidth and privacy are two main concerns of gradient updates transmission. This paper proposes …

Learning to Learn to Predict Performance Regressions in Production at Meta

2023

Catching and attributing code change-induced performance regressions in production is hard; predicting them beforehand, even harder. A primer on automatically learning to predict performance regressions in software, this article gives an account of the experiences …

SRCB at SemEval-2023 Task 2: A System of Complex Named Entity Recognition with External Knowledge

2023

The MultiCoNER II shared task aims at detecting semantically ambiguous and complex named entities in short and low-context settings for multiple languages. The lack of context makes the recognition of ambiguous named entities challenging. To …

Rust Meets Linux: Lessons from an Evolving Experiment

2026 · ACM Transactions on Computer Systems

Linux, developed over the past three decades, has become the cornerstone of modern computing, serving as the foundation for a wide array of applications ranging from large-scale supercomputers to resource-constrained embedded devices. However, this infrastructure …